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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 16008
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    Explanations

    phrases related to the physical characteristics and features of electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and the presence of ending sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     affili
    -0.89
     particip
    -0.79
     volunteering
    -0.78
     imperson
    -0.77
     acad
    -0.76
     anarchy
    -0.76
     concess
    -0.74
     divest
    -0.74
     professions
    -0.73
     taboo
    -0.73
    POSITIVE LOGITS
     Compared
    1.50
     Designed
    1.36
     Specifications
    1.36
     Its
    1.35
     Unfortunately
    1.33
     Unlike
    1.33
     Featuring
    1.31
     However
    1.29
     Additionally
    1.28
     Otherwise
    1.25
    Activations Density 0.246%

    No Known Activations